from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def 			lowercase(	UpperCamelCase_ = ""       )		->	dict[str, float]:







 '''simple docstring'''
 UpperCamelCase			  =      url or """https://www.imdb.com/chart/top/?ref_=nv_mv_250"""
 UpperCamelCase			  =      BeautifulSoup(requests.get(UpperCamelCase_       ).text							,					"""html.parser"""       )
 UpperCamelCase			  =      soup.find_all("""td"""							,					attrs="""titleColumn"""       )
 UpperCamelCase			  =      soup.find_all("""td"""							,					class_="""ratingColumn imdbRating"""       )
 return {
     title.a.text: float(rating.strong.text       )
     for title, rating in zip(UpperCamelCase_							,					UpperCamelCase_       )
 }





def 			lowercase(	UpperCamelCase_ = "IMDb_Top_250_Movies.csv"       )		->	None:







 '''simple docstring'''
 UpperCamelCase			  =      get_imdb_top_aaa_movies()
 with open(UpperCamelCase_							,					"""w"""							,					newline=""""""       ) as out_file:
  UpperCamelCase			  =      csv.writer(UpperCamelCase_       )
  writer.writerow(["""Movie title""", """IMDb rating"""]       )
  for title, rating in movies.items():
   writer.writerow([title, rating]       )


if __name__ == "__main__":
     write_movies()

from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE 		=      input("""Enter image url: """).strip()
     print(F'''Downloading image from {url} ...''')
     _SCREAMING_SNAKE_CASE 		=      BeautifulSoup(requests.get(url).content, """html.parser""")
     # The image URL is in the content field of the first meta tag with property og:image
     _SCREAMING_SNAKE_CASE 		=      soup.find("""meta""", {"""property""": """og:image"""})["""content"""]
     _SCREAMING_SNAKE_CASE 		=      requests.get(image_url).content
     _SCREAMING_SNAKE_CASE 		=      F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
     with open(file_name, """wb""") as fp:
          fp.write(image_data)
     print(F'''Done. Image saved to disk as {file_name}.''')
